CRITICAL TWO-POINT FUNCTIONS FOR LONG-RANGE STATISTICAL-MECHANICAL MODELS IN HIGH DIMENSIONS

被引:21
|
作者
Chen, Lung-Chi [1 ]
Sakai, Akira [2 ]
机构
[1] Fu Jen Catholic Univ, Dept Math, Hsinchuang 24205, Taipei County, Taiwan
[2] Hokkaido Univ, Dept Math, Kita Ku, Sapporo, Hokkaido 0600810, Japan
来源
ANNALS OF PROBABILITY | 2015年 / 43卷 / 02期
关键词
Critical behavior; long-range random walk; self-avoiding walk; percolation; the Ising model; two-point function; lace expansion; SELF-AVOIDING WALK; MEAN-FIELD BEHAVIOR; LACE EXPANSION; ORIENTED PERCOLATION; LIMIT DISTRIBUTION; ISING-MODELS; INEQUALITIES; EXPONENTS;
D O I
10.1214/13-AOP843
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We consider long-range self-avoiding walk, percolation and the Ising model on Z(d) that are defined by power-law decaying pair potentials of the form D(x) asymptotic to vertical bar x vertical bar(-d-alpha) with alpha > 0. The upper-critical dimension d(c) is 2(alpha boolean AND 2) for self-avoiding walk and the Ising model, and 3(alpha boolean AND 2) for percolation. Let alpha not equal 2 and assume certain heat-kernel bounds on the n-step distribution of the underlying random walk. We prove that, for d > d(c) (and the spread-out parameter sufficiently large), the critical two-point function G p(c) (X) for each model is asymptotically C vertical bar x vertical bar(alpha boolean AND 2-d), where the constant C is an element of (0, infinity) is expressed in terms of the model-dependent lace-expansion coefficients and exhibits crossover between alpha < 2 and alpha > 2. We also provide a class of random walks that satisfy those heat-kernel bounds.
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页码:639 / 681
页数:43
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